Alibaba-NLP · First MLX build 17 May 2025
gte-Qwen2-1.5B-instruct
MLX
Text apache-2.0
A 1.8B parameter text generation model from Alibaba-NLP, with one MLX build at 4-bit DWQ.
- Parameters
- 1.8B From Hugging Face
- Quantisation
- 4-bit DWQ gte-Qwen2-1.5B-instruct-4bit-dwq
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 999 MB Weights, estimated
- Downloads
- 184 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 4 GB at 4-bit DWQ
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/gte-Qwen2-1.5B-instruct-4bit-dwq --prompt "Hello"MLX builds
1 on mlx-community| gte-Qwen2-1.5B-instruct-4bit-dwq | 4-bit DWQ | 999 MB | 4 GB | 184 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.